Below is the result of using statistical analysis to map all your songs on a 2-dimensional graph. If you are interested in the details of how this works then you can read the details here. So, what is it? First, the analysis groups together songs that are similar based on the features of the song like those in the plot above, such as acousticness or valence (this uses a clustering algorithm called ‘k-means’). The analysis then reduces all the information about the song that it can to two variables, so that they can be plotted on a 2d graph (this is known as ‘dimension reduction’). The result is the graph below, where each of your songs has been assigned to a group, given by the colour, and put somewhere on the graph.
You can see what each of the points on the graph is by hovering over it to get the track and artist name.